docs/examples/notebooks/00_notebook_tour.ipynb

{
 "metadata": {
  "name": "00_notebook_tour"
 },
 "nbformat": 3,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "source": [
      "# A brief tour of the IPython notebook",
      "",
      "This document will give you a brief tour of the capabilities of the IPython notebook.  ",
      "You can view its contents by scrolling around, or execute each cell by typing `Shift-Enter`.",
      "After you conclude this brief high-level tour, you should read the accompanying notebook ",
      "titled `01_notebook_introduction`, which takes a more step-by-step approach to the features of the",
      "system.  ",
      "",
      "The rest of the notebooks in this directory illustrate various other aspects and ",
      "capabilities of the IPython notebook; some of them may require additional libraries to be executed.",
      "",
      "**NOTE:** This notebook *must* be run from its own directory, so you must ``cd``",
      "to this directory and then start the notebook, but do *not* use the ``--notebook-dir``",
      "option to run it from another location.",
      "",
      "The first thing you need to know is that you are still controlling the same old IPython you're used to,",
      "so things like shell aliases and magic commands still work:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pwd"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "u'/home/fperez/ipython/ipython/docs/examples/notebooks'"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ls"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "00_notebook_tour.ipynb          python-logo.svg",
        "01_notebook_introduction.ipynb  sympy.ipynb",
        "animation.m4v                   sympy_quantum_computing.ipynb",
        "display_protocol.ipynb          trapezoid_rule.ipynb",
        "formatting.ipynb"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "message = 'The IPython notebook is great!'",
      "# note: the echo command does not run on Windows, it's a unix command.",
      "!echo $message"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "The IPython notebook is great!"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "source": [
      "Plots with matplotlib: do *not* execute the next below if you do not have matplotlib installed or didn't start up ",
      "this notebook with the `--pylab` option, as the code will not work."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = linspace(0, 3*pi, 500)",
      "plot(x, sin(x**2))",
      "title('A simple chirp');"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAECCAYAAAASDQdFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAwODbgRD+gYGBgbdCIb0DQwMDLoR/j8U8QHdaUyIsAAAAABJRU5ErkJggg==\n"
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "source": [
      "You can paste blocks of input with prompt markers, such as those from",
      "[the official Python tutorial](http://docs.python.org/tutorial/interpreter.html#interactive-mode)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      ">>> the_world_is_flat = 1",
      ">>> if the_world_is_flat:",
      "...     print \"Be careful not to fall off!\""
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Be careful not to fall off!"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "source": [
      "Errors are shown in informative ways:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%run non_existent_file"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR: File `non_existent_file.py` not found."
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "x = 1",
      "y = 4",
      "z = y/(1-x)"
     ],
     "language": "python",
     "outputs": [
      {
       "ename": "ZeroDivisionError",
       "evalue": "integer division or modulo by zero",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
        "\u001b[0;32m/home/fperez/ipython/ipython/docs/examples/notebooks/<ipython-input-7-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m4\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "source": [
      "When IPython needs to display additional information (such as providing details on an object via `x?`",
      "it will automatically invoke a pager at the bottom of the screen:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "magic"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "source": [
      "## Non-blocking output of kernel",
      "",
      "If you execute the next cell, you will see the output arriving as it is generated, not all at the end."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import time, sys",
      "for i in range(8):",
      "    print i,",
      "    time.sleep(0.5)"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "0 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "3 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "4 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "5 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "6 "
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "7"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "source": [
      "## Clean crash and restart",
      "",
      "We call the low-level system libc.time routine with the wrong argument via",
      "ctypes to segfault the Python interpreter:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "from ctypes import CDLL",
      "# This will crash a linux system; equivalent calls can be made on Windows or Mac",
      "libc = CDLL(\"libc.so.6\") ",
      "libc.time(-1)  # BOOM!!"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": "*"
    },
    {
     "cell_type": "markdown",
     "source": [
      "## Markdown cells can contain formatted text and code",
      "",
      "You can *italicize*, **boldface**",
      "",
      "* build",
      "* lists",
      "",
      "and embed code meant for illustration instead of execution in Python:",
      "",
      "    def f(x):",
      "        \"\"\"a docstring\"\"\"",
      "        return x**2",
      "",
      "or other languages:",
      "",
      "    if (i=0; i<n; i++) {",
      "      printf(\"hello %d\\n\", i);",
      "      x += 4;",
      "    }"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "Courtesy of MathJax, you can include mathematical expressions both inline: ",
      "$e^{i\\pi} + 1 = 0$  and displayed:",
      "",
      "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "## Rich displays: include anyting a browser can show",
      "",
      "Note that we have an actual protocol for this, see the `display_protocol` notebook for further details.",
      "",
      "### Images"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Image",
      "Image(filename='../../source/_static/logo.png')"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAggAAABDCAYAAAD5/P3lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
       "prompt_number": 1,
       "text": [
        "&lt;IPython.core.display.Image at 0x41d4690&gt;"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "source": [
      "An image can also be displayed from raw data or a url"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image('http://python.org/images/python-logo.gif')"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<img src=\"http://python.org/images/python-logo.gif\" />"
       ],
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "&lt;IPython.core.display.Image at 0x41d4550&gt;"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "source": [
      "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import SVG",
      "SVG(filename='python-logo.svg')"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 3,
       "svg": [
        "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">",
        "  <metadata id=\"metadata2193\">",
        "    <rdf:RDF>",
        "      <cc:Work rdf:about=\"\">",
        "        <dc:format>image/svg+xml</dc:format>",
        "        <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>",
        "      </cc:Work>",
        "    </rdf:RDF>",
        "  </metadata>",
        "  <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>",
        "  <defs id=\"defs4\">",
        "    <linearGradient id=\"linearGradient2795\">",
        "      <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>",
        "      <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>",
        "    </linearGradient>",
        "    <linearGradient id=\"linearGradient2787\">",
        "      <stop id=\"stop2789\" offset=\"0\" style=\"stop-color:#7f7f7f;stop-opacity:0.5\"/>",
        "      <stop id=\"stop2791\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>",
        "    </linearGradient>",
        "    <linearGradient id=\"linearGradient3676\">",
        "      <stop id=\"stop3678\" offset=\"0\" style=\"stop-color:#b2b2b2;stop-opacity:0.5\"/>",
        "      <stop id=\"stop3680\" offset=\"1\" style=\"stop-color:#b3b3b3;stop-opacity:0\"/>",
        "    </linearGradient>",
        "    <linearGradient id=\"linearGradient3236\">",
        "      <stop id=\"stop3244\" offset=\"0\" style=\"stop-color:#f4f4f4;stop-opacity:1\"/>",
        "      <stop id=\"stop3240\" offset=\"1\" style=\"stop-color:#ffffff;stop-opacity:1\"/>",
        "    </linearGradient>",
        "    <linearGradient id=\"linearGradient4671\">",
        "      <stop id=\"stop4673\" offset=\"0\" style=\"stop-color:#ffd43b;stop-opacity:1\"/>",
        "      <stop id=\"stop4675\" offset=\"1\" style=\"stop-color:#ffe873;stop-opacity:1\"/>",
        "    </linearGradient>",
        "    <linearGradient id=\"linearGradient4689\">",
        "      <stop id=\"stop4691\" offset=\"0\" style=\"stop-color:#5a9fd4;stop-opacity:1\"/>",
        "      <stop id=\"stop4693\" offset=\"1\" style=\"stop-color:#306998;stop-opacity:1\"/>",
        "    </linearGradient>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2987\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2990\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2587\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2589\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2248\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"77.475983\" y2=\"76.313133\"/>",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2250\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>",
        "    <linearGradient gradientTransform=\"matrix(0.562541,0,0,0.567972,-11.5974,-7.60954)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2255\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>",
        "    <linearGradient gradientTransform=\"matrix(0.562541,0,0,0.567972,-11.5974,-7.60954)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2258\" x1=\"172.94208\" x2=\"26.670298\" xlink:href=\"#linearGradient4689\" y1=\"76.176224\" y2=\"76.313133\"/>",
        "    <radialGradient cx=\"61.518883\" cy=\"132.28575\" fx=\"61.518883\" fy=\"132.28575\" gradientTransform=\"matrix(1,0,0,0.177966,0,108.7434)\" gradientUnits=\"userSpaceOnUse\" id=\"radialGradient2801\" r=\"29.036913\" xlink:href=\"#linearGradient2795\"/>",
        "    <linearGradient gradientTransform=\"matrix(0.562541,0,0,0.567972,-9.399749,-5.305317)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient1475\" x1=\"150.96111\" x2=\"112.03144\" xlink:href=\"#linearGradient4671\" y1=\"192.35176\" y2=\"137.27299\"/>",
        "    <linearGradient gradientTransform=\"matrix(0.562541,0,0,0.567972,-9.399749,-5.305317)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient1478\" x1=\"26.648937\" x2=\"135.66525\" xlink:href=\"#linearGradient4689\" y1=\"20.603781\" y2=\"114.39767\"/>",
        "    <radialGradient cx=\"61.518883\" cy=\"132.28575\" fx=\"61.518883\" fy=\"132.28575\" gradientTransform=\"matrix(2.382716e-8,-0.296405,1.43676,4.683673e-7,-128.544,150.5202)\" gradientUnits=\"userSpaceOnUse\" id=\"radialGradient1480\" r=\"29.036913\" xlink:href=\"#linearGradient2795\"/>",
        "  </defs>",
        "  <g id=\"g2303\">",
        "    <path d=\"M 184.61344,61.929363 C 184.61344,47.367213 180.46118,39.891193 172.15666,39.481813 C 168.85239,39.325863 165.62611,39.852203 162.48754,41.070593 C 159.98254,41.967323 158.2963,42.854313 157.40931,43.751043 L 157.40931,78.509163 C 162.72147,81.842673 167.43907,83.392453 171.55234,83.148783 C 180.25649,82.573703 184.61344,75.507063 184.61344,61.929363 z M 194.85763,62.533683 C 194.85763,69.931723 193.12265,76.072393 189.63319,80.955683 C 185.7441,86.482283 180.35396,89.328433 173.46277,89.484393 C 168.26757,89.650093 162.91642,88.022323 157.40931,84.610843 L 157.40931,116.20116 L 148.50047,113.02361 L 148.50047,42.903043 C 149.96253,41.109583 151.84372,39.569543 154.12454,38.263433 C 159.42696,35.173603 165.86978,33.584823 173.45302,33.506853 L 173.57973,33.633563 C 180.50991,33.545833 185.85132,36.391993 189.60395,42.162263 C 193.10315,47.454933 194.85763,54.238913 194.85763,62.533683 z \" id=\"path46\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 249.30487,83.265743 C 249.30487,93.188283 248.31067,100.05998 246.32227,103.88084 C 244.32411,107.7017 240.52275,110.75254 234.90842,113.02361 C 230.35653,114.81707 225.43425,115.79178 220.15133,115.95748 L 218.67952,110.34316 C 224.05016,109.61213 227.83204,108.88109 230.02513,108.15006 C 234.34309,106.688 237.30621,104.44617 238.93397,101.44406 C 240.24008,98.997543 240.88339,94.328693 240.88339,87.418003 L 240.88339,85.098203 C 234.79146,87.866373 228.40711,89.240713 221.73036,89.240713 C 217.34417,89.240713 213.47457,87.866373 210.14107,85.098203 C 206.39818,82.086343 204.52674,78.265483 204.52674,73.635623 L 204.52674,36.557693 L 213.43558,33.506853 L 213.43558,70.828453 C 213.43558,74.815013 214.7222,77.885353 217.29543,80.039463 C 219.86866,82.193563 223.20217,83.226753 227.2862,83.148783 C 231.37023,83.061053 235.74667,81.482023 240.39603,78.392203 L 240.39603,34.851953 L 249.30487,34.851953 L 249.30487,83.265743 z \" id=\"path48\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 284.08249,88.997033 C 283.02006,89.084753 282.04535,89.123743 281.14862,89.123743 C 276.10937,89.123743 272.18129,87.924853 269.37413,85.517323 C 266.57671,83.109793 265.17314,79.786033 265.17314,75.546053 L 265.17314,40.456523 L 259.07146,40.456523 L 259.07146,34.851953 L 265.17314,34.851953 L 265.17314,19.968143 L 274.07223,16.800333 L 274.07223,34.851953 L 284.08249,34.851953 L 284.08249,40.456523 L 274.07223,40.456523 L 274.07223,75.302373 C 274.07223,78.645623 274.96896,81.014163 276.76243,82.398253 C 278.30247,83.538663 280.74899,84.191723 284.08249,84.357423 L 284.08249,88.997033 z \" id=\"path50\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 338.02288,88.266003 L 329.11404,88.266003 L 329.11404,53.878273 C 329.11404,50.379063 328.29528,47.367213 326.66753,44.852463 C 324.78634,42.006313 322.17411,40.583233 318.82112,40.583233 C 314.73708,40.583233 309.6296,42.737343 303.4987,47.045563 L 303.4987,88.266003 L 294.58985,88.266003 L 294.58985,6.0687929 L 303.4987,3.2616329 L 303.4987,40.700203 C 309.191,36.557693 315.40963,34.481563 322.16436,34.481563 C 326.88196,34.481563 330.70282,36.070333 333.62694,39.238143 C 336.56082,42.405943 338.02288,46.353513 338.02288,51.071103 L 338.02288,88.266003 L 338.02288,88.266003 z \" id=\"path52\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 385.37424,60.525783 C 385.37424,54.930953 384.31182,50.310833 382.19669,46.655673 C 379.68195,42.201253 375.77337,39.852203 370.49044,39.608523 C 360.72386,40.173863 355.85032,47.172273 355.85032,60.584263 C 355.85032,66.734683 356.86401,71.871393 358.91089,75.994413 C 361.52312,81.248093 365.44145,83.840823 370.66589,83.753103 C 380.47146,83.675123 385.37424,75.935933 385.37424,60.525783 z M 395.13109,60.584263 C 395.13109,68.547643 393.09395,75.175663 389.02941,80.468333 C 384.5555,86.394563 378.37584,89.367423 370.49044,89.367423 C 362.67328,89.367423 356.58135,86.394563 352.18541,80.468333 C 348.19885,75.175663 346.21044,68.547643 346.21044,60.584263 C 346.21044,53.098503 348.36455,46.801883 352.67276,41.674913 C 357.22466,36.236033 363.20937,33.506853 370.6074,33.506853 C 378.00545,33.506853 384.02914,36.236033 388.66877,41.674913 C 392.97697,46.801883 395.13109,53.098503 395.13109,60.584263 z \" id=\"path54\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 446.20583,88.266003 L 437.29699,88.266003 L 437.29699,51.928853 C 437.29699,47.942293 436.0981,44.832973 433.70032,42.591133 C 431.30253,40.359053 428.10549,39.277123 424.11893,39.364853 C 419.8887,39.442833 415.86314,40.826913 412.04229,43.507363 L 412.04229,88.266003 L 403.13345,88.266003 L 403.13345,42.405943 C 408.26042,38.672813 412.97801,36.236033 417.28621,35.095623 C 421.35076,34.033193 424.93769,33.506853 428.02752,33.506853 C 430.14264,33.506853 432.13104,33.711543 434.00248,34.120913 C 437.50169,34.929923 440.34783,36.430973 442.54093,38.633823 C 444.98744,41.070593 446.20583,43.994723 446.20583,47.415943 L 446.20583,88.266003 z \" id=\"path56\" style=\"fill:#646464;fill-opacity:1\"/>",
        "    <path d=\"M 60.510156,6.3979729 C 55.926503,6.4192712 51.549217,6.8101906 47.697656,7.4917229 C 36.35144,9.4962267 34.291407,13.691825 34.291406,21.429223 L 34.291406,31.647973 L 61.103906,31.647973 L 61.103906,35.054223 L 34.291406,35.054223 L 24.228906,35.054223 C 16.436447,35.054223 9.6131468,39.73794 7.4789058,48.647973 C 5.0170858,58.860939 4.9078907,65.233996 7.4789058,75.897973 C 9.3848341,83.835825 13.936449,89.491721 21.728906,89.491723 L 30.947656,89.491723 L 30.947656,77.241723 C 30.947656,68.391821 38.6048,60.585475 47.697656,60.585473 L 74.478906,60.585473 C 81.933857,60.585473 87.885159,54.447309 87.885156,46.960473 L 87.885156,21.429223 C 87.885156,14.162884 81.755176,8.7044455 74.478906,7.4917229 C 69.872919,6.7249976 65.093809,6.3766746 60.510156,6.3979729 z M 46.010156,14.616723 C 48.779703,14.616723 51.041406,16.915369 51.041406,19.741723 C 51.041404,22.558059 48.779703,24.835473 46.010156,24.835473 C 43.23068,24.835472 40.978906,22.558058 40.978906,19.741723 C 40.978905,16.91537 43.23068,14.616723 46.010156,14.616723 z \" id=\"path1948\" style=\"fill:url(#linearGradient1478);fill-opacity:1\"/>",
        "    <path d=\"M 91.228906,35.054223 L 91.228906,46.960473 C 91.228906,56.191228 83.403011,63.960472 74.478906,63.960473 L 47.697656,63.960473 C 40.361823,63.960473 34.291407,70.238956 34.291406,77.585473 L 34.291406,103.11672 C 34.291406,110.38306 40.609994,114.65704 47.697656,116.74172 C 56.184987,119.23733 64.323893,119.68835 74.478906,116.74172 C 81.229061,114.78733 87.885159,110.85411 87.885156,103.11672 L 87.885156,92.897973 L 61.103906,92.897973 L 61.103906,89.491723 L 87.885156,89.491723 L 101.29141,89.491723 C 109.08387,89.491723 111.98766,84.056315 114.69765,75.897973 C 117.49698,67.499087 117.37787,59.422197 114.69765,48.647973 C 112.77187,40.890532 109.09378,35.054223 101.29141,35.054223 L 91.228906,35.054223 z M 76.166406,99.710473 C 78.945884,99.710476 81.197656,101.98789 81.197656,104.80422 C 81.197654,107.63057 78.945881,109.92922 76.166406,109.92922 C 73.396856,109.92922 71.135156,107.63057 71.135156,104.80422 C 71.135158,101.98789 73.396853,99.710473 76.166406,99.710473 z \" id=\"path1950\" style=\"fill:url(#linearGradient1475);fill-opacity:1\"/>",
        "    <path d=\"M 463.5544,26.909383 L 465.11635,26.909383 L 465.11635,17.113143 L 468.81648,17.113143 L 468.81648,15.945483 L 459.85427,15.945483 L 459.85427,17.113143 L 463.5544,17.113143 L 463.5544,26.909383 M 470.20142,26.909383 L 471.53589,26.909383 L 471.53589,17.962353 L 474.4323,26.908259 L 475.91799,26.908259 L 478.93615,17.992683 L 478.93615,26.909383 L 480.39194,26.909383 L 480.39194,15.945483 L 478.46605,15.945483 L 475.16774,25.33834 L 472.35477,15.945483 L 470.20142,15.945483 L 470.20142,26.909383\" id=\"text3004\" style=\"font-size:15.16445827px;font-style:normal;font-weight:normal;line-height:125%;fill:#646464;fill-opacity:1;stroke:none;stroke-width:1px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1;font-family:Bitstream Vera Sans\"/>",
        "    <path d=\"M 110.46717 132.28575 A 48.948284 8.6066771 0 1 1  12.570599,132.28575 A 48.948284 8.6066771 0 1 1  110.46717 132.28575 z\" id=\"path1894\" style=\"opacity:0.44382019;fill:url(#radialGradient1480);fill-opacity:1;fill-rule:nonzero;stroke:none;stroke-width:20;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1\" transform=\"matrix(0.73406,0,0,0.809524,16.24958,27.00935)\"/>",
        "  </g>",
        "</svg>"
       ],
       "text": [
        "&lt;IPython.core.display.SVG at 0x41d4910&gt;"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "source": [
      "#### Embedded vs Non-embedded Images"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "As of IPython 0.13, images are embedded by default for compatibility with QtConsole, and the ability to still be displayed offline.",
      "",
      "Let's look at the differences:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# by default Image data are embedded",
      "Embed      = Image(    'http://www.google.fr/images/srpr/logo3w.png')",
      "",
      "# if kwarg `url` is given, the embedding is assumed to be false",
      "SoftLinked = Image(url='http://www.google.fr/images/srpr/logo3w.png')",
      "",
      "# In each case, embed can be specified explicitly with the `embed` kwarg",
      "# ForceEmbed = Image(url='http://www.google.fr/images/srpr/logo3w.png', embed=True)"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "source": [
      "Today's Google doodle, (at the time I created this notebook). This should also work in the Qtconsole.",
      "Drawback is that the saved notebook will be larger, but the image will still be present offline."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Embed"
     ],
     "language": "python",
     "outputs": [
      {
       "jpeg": "/9j/2wBDAAMCAgICAgMCAgMFAwMDBQUEAwMEBQYFBQUFBQYIBgcHBwcGCAgJCgoKCQgMDAwMDAwO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\nBoDQGgNAaA0H/9k=\n",
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<IPython.core.display.Image at 0x107deaad0>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "source": [
      "Today's Google doodle, visible only with an active internet connexion, that should be different from the previous one. This will not work on Qtconsole.",
      "Notebook saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "SoftLinked"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<img src=\"http://www.google.fr/images/srpr/logo3w.png\" />"
       ],
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<IPython.core.display.Image at 0x107dea890>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "source": [
      "Of course, if you re-run this notebook, the two doodles will be the same again.",
      "<!-- well actually I cheated a little, by setting Embed Url to http://www.google.com/logos/2012/doisneau12-hp.jpg  then editing the ipynb myself and replacing it by the other url -->"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "### Video"
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "And more exotic objects can also be displayed, as long as their representation supports ",
      "the IPython display protocol.",
      "",
      "For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other",
      "hosted content is trivial):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.lib.display import YouTubeVideo",
      "# a talk about IPython at Sage Days at U. Washington, Seattle.",
      "# Video credit: William Stein.",
      "YouTubeVideo('1j_HxD4iLn8')"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "",
        "            <iframe",
        "                width=\"400\"",
        "                height=\"300\"",
        "                src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"",
        "                frameborder=\"0\"",
        "                allowfullscreen",
        "            ></iframe>",
        "        "
       ],
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "&lt;IPython.lib.display.YouTubeVideo at 0x41d4310&gt;"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "source": [
      "Using the nascent video capabilities of modern browsers, you may also be able to display local",
      "videos.  At the moment this doesn't work very well in all browsers, so it may or may not work for you;",
      "we will continue testing this and looking for ways to make it more robust.  ",
      "",
      "The following cell loads a local file called  `animation.m4v`, encodes the raw video as base64 for http",
      "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control",
      "bar at the bottom with a play/pause button and a location slider."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import HTML",
      "video = open(\"animation.m4v\", \"rb\").read()",
      "video_encoded = video.encode(\"base64\")",
      "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)",
      "HTML(data=video_tag)"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<video controls alt=\"test\" src=\"data:video/x-m4v;base64,AAAAHGZ0eXBNNFYgAAACAGlzb21pc28yYXZjMQAAAAhmcmVlAAAqiW1kYXQAAAKMBgX//4jcRem9",
        "5tlIt5Ys2CDZI+7veDI2NCAtIGNvcmUgMTE4IC0gSC4yNjQvTVBFRy00IEFWQyBjb2RlYyAtIENv",
        "cHlsZWZ0IDIwMDMtMjAxMSAtIGh0dHA6Ly93d3cudmlkZW9sYW4ub3JnL3gyNjQuaHRtbCAtIG9w",
        "dGlvbnM6IGNhYmFjPTEgcmVmPTMgZGVibG9jaz0xOjA6MCBhbmFseXNlPTB4MzoweDExMyBtZT1o",
        "ZXggc3VibWU9NyBwc3k9MSBwc3lfcmQ9MS4wMDowLjAwIG1peGVkX3JlZj0xIG1lX3JhbmdlPTE2",
        "IGNocm9tYV9tZT0xIHRyZWxsaXM9MSA4eDhkY3Q9MSBjcW09MCBkZWFkem9uZT0yMSwxMSBmYXN0",
        "X3Bza2lwPTEgY2hyb21hX3FwX29mZnNldD0tMiB0aHJlYWRzPTEgc2xpY2VkX3RocmVhZHM9MCBu",
        "cj0wIGRlY2ltYXRlPTEgaW50ZXJsYWNlZD0wIGJsdXJheV9jb21wYXQ9MCBjb25zdHJhaW5lZF9p",
        "bnRyYT0wIGJmcmFtZXM9MyBiX3B5cmFtaWQ9MiBiX2FkYXB0PTEgYl9iaWFzPTAgZGlyZWN0PTEg",
        "d2VpZ2h0Yj0xIG9wZW5fZ29wPTAgd2VpZ2h0cD0yIGtleWludD0yNTAga2V5aW50X21pbj0yNSBz",
        "Y2VuZWN1dD00MCBpbnRyYV9yZWZyZXNoPTAgcmNfbG9va2FoZWFkPTQwIHJjPWNyZiBtYnRyZWU9",
        "MSBjcmY9MjMuMCBxY29tcD0wLjYwIHFwbWluPTAgcXBtYXg9NjkgcXBzdGVwPTQgaXBfcmF0aW89",
        "MS40MCBhcT0xOjEuMDAAgAAACqVliIQAV/0TAAI/3gU2tIW7KawwaCmQGTGHKmuYAAADACBcshU+",
        "yICkgAA14AHowiEeT6ei7v7h3Hu0i2fpUBLGBIkbCMP3Vfz+9BVGCDXnw9Uv5o3iN030tb7eq6rs",
        "EEhHs2azbdTiE9Csz5Zm6SiUWRdmB43hbD5i6syATuODUJd7LM3d9cbFpc7zFlu5y3vUmNGd6urp",
        "vKKT9iyleIyTuR1sVS431DhevGfkUllVeIznYUe2USoMW1tufETjyRdmGldN6eNlhAOsGAH4z+Hk",
        "rwKecPPU7Q5T4gDAIxj9hW84jVExMTSTHxkPTq1I4OotgUxURCGTsw60k/ezPNmNg38j1bqaGmPc",
        "ruDKEIBDsK5qEytFB90Q68s0h2wmlf2KXd5bleBefiK+/p47ZsyUO4IdlW25rRy+HLjt6wQXfYee",
        "3IkiQOoOK+U7u/lxcl78zfxwIoEMjUUSKNZjkp8clnmecDDJ3Kz+viF7bPklk7N6QRyizAKPIIpn",
        "NJUuMWQmqeL2Or6cr4D0/0tOym+4tficxmhuEONKUtO2pPn3hRjMllkd12tXp70fLTfxy0dwB70M",
        "L9iLEcItHb7zVupHlP5RxdvecpREw+OsIPr9KWilIesNE19jgIbT+TkiRBjOoKvUuwcQnKg7fOTH",
        "VoLvnKuAfea+oujEdm1Rwd2tEOnkF+ZC11WaNQsiNR/eJ9EnUXjXDYGfhB+Oe7qj8nYTT+eOXg1c",
        "uJNgLXEs4vOheWEjQOqfIWMQc3DmTof5s0ksBmUQ3PQ+UHPxZSnmOEZB+j6xT3wbm7HGzDjWtSg1",
        "SjTxd1EiJ8xA4SIxxR8WIKLg+TwFxJNS7Laxq7Uglu3AkXe82P1JCdJX5PsbFbxuDbuJgakzRcTw",
        "MLLSKCiizS/eCW0uJed/lev9yb80kKlVET4S219cn/zhkpeDV83cHYOr+sJQKDRk/Wh2c7fsuxfx",
        "aEH/6reSmvFDsAnXAyPXliJ3G4VG3OkEM5K5WyGGrBizZbTrdGsBnzj5VSGGOJdCKuRrUluw/8es",
        "2vYRPs9BcTqAqvHk9M52SSIf+1T6L53EZP8VbtXB+G29CMW4xVCK/B/YDjaNmqMwJ61dapugjnWJ",
        "fqeXlGGa3Ch3aA7gi30T8PucNRBjLK3lF67ZDDvkWXRQXd+VMnKWHkBbCkQ/F/fMuNpHO3C00Y2p",
        "ljna1qImBhVMvPe0F7Qx7G/YyxLRzhyUU8e23HGzp0agtNJRbydbrPV+TqJMSifJMNcZIf8wkdnC",
        "3/xdpcXnLf2Ye3Kbd0o7utciTG+q5h6WTEk+PaNbXLLA0YyZ2VnLTcyV1QTS76aNCbV9Q1/OQ7QU",
        "81Gg0hPa9aSiscGary6jLVwDQaik4zLsi7jPqgPVdup7pwx7uJDqRCVcVi5QoZFp/GHdex5sJTF6",
        "9A6sja69/NLkFIWNSIeRcuGahXpF+wZeYIrqJv975s1TKYKAvp1WtzgtgWNkcbzCtROqf8rPtlAI",
        "xkX8GLcEo9zfExyfimeXQ64qfFxEy0IMy2Hsxau9fSMqUnIjntuVVjCQtBL+94gx1RZLndE6wROV",
        "Tq/wHwHrQzo9QL9cpPqPFJjiZ/NGZIFuudS+wsBFe6Hu8Oitf5zToLqLdtU4Smwh4ne3JsiT9lOz",
        "N+4PPw3VSx9l5FppVwdKUWELw1dYpCOppyVWlJ3YQ8H4FQQM8EcYMG9N3Bxu79y1J1ikuvuhMmLQ",
        "lehLTbguhbix74hd1VIQC8EjHmOZSSWbssulYwPbr6FF49tifk6PymJvulR9/u+2585HkRfbxveG",
        "eWCz0ix1pIVfaNpESKmtLy/0mcbMg9hYDz2werz9oe0lT2BiMV6uAin6RaQcT8Vk9MPctfwae+gk",
        "vtnZA/sOBk8MbpylaHqc0KIVHhhLFMNnkOFiucjtGo/JWTa/F6g8wWeow5ZuIJUORaYHWqegZbTg",
        "M9dCsYYsfZGjjVMuSlDIvpYvIvFFooGPC7Ye2Jfawmq4Ut7EL/nv/dyAd2HRc5msmUhzeu/XpX3r",
        "VlzRmf9/Qan8Dbve3QfW1Ym0o5J/KAc3z1VBho7JBr5PgCL68RiD9jZHN0VvsT4gzsEjNlW3D91U",
        "y4RduaodBFoNTzXwlfUYULBzdiTbH75l/UmVMC4TKeTWhNzw2UezaqeGd8at3WSY7W/VR3+hvZHD",
        "pkIjgKuNNH0DsCRa/Kk56XQoHIyvvUH/eNekNvziReqS4qgLnXUT4BRGt2BOtCifI6+X/DGHUOmW",
        "lX7TN5b4pw5U7jwfwshtbhGZM49T8JMk15Mzrc7tM6J11TYxb5R3mQhZ8TZumJ0bMJXPM69HFyih",
        "r5dJSEJMycxJVUh6NTQALUOoRTHIOwE+FpWI6feTv1SiZ0YpYe5DbkYJJbN7zAHbAKw25XvqR2mA",
        "jQmOlsfX/tK8DPjP/8h5/xgAF4EUbj1tOnQCBQL8jk9vHtfsXncsprww4Z+P/Z/UrKifuFyEpBWN",
        "8kLpF7yywE2iYdDruV9+/qKR8rC9ozNKyqQNIwtxrzYkWpE5t8K7gG4JFnrHona/Rp8dOX6VW41+",
        "jb5LB1LEtE8MwjLp3RCUOq/+6yLzaOEgBTqzvEjDeFpg/u9DMHMr4/2TOchfjg7dl+uQ6Gsx+4Ia",
        "9W7vivG95027p25eKL0nHvx/OqmAQEZYJL/JO58lOj0zPdJxrQ5dZksjMISzVZNn7DsxqE3zgBBu",
        "Nzk50R8lTK3U8P12QiOAQYSTeGlYlkvfeofrfO1AitEj02m9aUkxTFd1ZZJoLQT2d3zEU5PmE4lx",
        "MVfL5ttNnIbqfcIU2RJKNWqdw77xfjfrNc/eNpRKPZ/6z50LzBprgjzBHRfKgSWWkDxHrX0aTbgw",
        "QFwd51+PoUWH4DkQg26uGslF5Hn3hB58+fkeLTosTANOIBNAeFZtTc4PIaLHw759zae7scY55xcT",
        "abzlilYIftst2RZ6ntsRC3zFxduCKvL6wLfYT+TiIWJn5P7sTwZwXuSzXY+9Q3xMZ5o4Xcpz6vD9",
        "FtTjzS69iefEYt4pXiDrZUo4ePGiLeoIFIwYB/v6GXdmG5VLLk+eKbOc9AmsX2zmvqtcvDRGQbzu",
        "gXbH/kTH/lkNPBTmqN3ZJODUEXVohPEJ6th0xna0EVleB73Q3eNvaVUvhlJbjs3D/T17FRCebN7A",
        "OXvzzbLE/I5kNfEmJcv4dxtIeo2uQ/z9ohSpiZzbDj1u40nJRyJxUK60wEv0nA9f/NuJ6/PEyU0b",
        "kK16z2KH12k3Lc4+1f5fawIzkK2qJRB4wnj8VHhUW9mbJhs9vgfFmU3xrXSShY67Ygb+gYNPxxtn",
        "4K/9eTSwIA9fv/nR33lA2lZoXALRUTmOZIl3R0gAM5h6oX1y1thIyqViBK95VZc8Pvy7G3O90M9S",
        "4zkpyFQ36jrMazvMveMA4d39fvoaC7p90quiJfjI4yrl+ECVkCJL5MxRSa+iVcIL7Xbl0jVaGhZI",
        "cMYmcGOBbLzhJgloM1x1zFnnj3ggJRFAM8yNnXxhavk+mA18JC+y3lqGsp6vPReRxGlGHMou17L4",
        "It070LzkoeCzarpv8Apw59smdS5KN9qVN1WgeL7OSN8BHg94ubCvS7DW6H3/PbtRB62jFLsBhUV5",
        "YqCIbIN5VZ81AAACpUGaIWxFfwAru8x8uT3FuOjrAeSWXmAWqq9jCNGE+N5AOv//9//xjk4uBAcA",
        "DN96c97AVGmzRtnWwPsgcCbLrVdQJgbKp4QSmPwQnVhv0hXyBjeFWWlcvx70urEN3FK6/lvk2tQe",
        "ZgbtlbzXluvTfnSj/Ctz7vZ+O1FjhDzzdpL7uLzewzCIW5VWLAEKUVuS2J6wNk6MR7UblcEd4EtO",
        "Y+R4/qJgfojCsfRvA0oC5dc41Vd0erZbSkrmPTjLCn815bxlchUJMS8gQD5hJNwoKHvNLNwn7XKu",
        "TtYIhH2wVNZvDWgzCjlPeQajnrcMsb6bZYJvNJU8HuGHvm50r7VG8qifEwmuyegAZXojh5Ul5Vvj",
        "DW7kSAZyw8a7I6mHY3FZHd+OA3V4JZMbNliI3Tj1L6+MKTmilVialmyZagRtEMeKRdtxUPd3vVEt",
        "rOBVIVYWdgAGA7HmZiHQUQNxLkWxbLyWVlrh5EM0Do2NdbclHxxArz90d+MSVeUOIXQ/4V9quq8C",
        "8qVflo1gPtPMkjO2/UrdOYqhY404ReObOu/fdp4hAEDq6jhy64vOeT7XUK/Onq0rXTldtA6kvgQa",
        "Jg+mgYSR9hfXtMbOUSLgLj/RmBSO8aAMHuJJZqf1tCM5pZ9eYUsrHmy+/z2NGalon0//uF6+33bQ",
        "zT/RLRfBbYTjy9QrJqHLlw46lggWPGkHuPKSqk/CB7U4pNPXUbR0DdcJy9Db00wCzVzxVc6h7jfC",
        "FgiL2Y0HVqd6bgIaVUqn/gJCEyCDVplnzebv0gg3XwMJAGu639lHu7rEvxTp1smIYjWp9R5L4Ssp",
        "VvS07Nb+Smk1FgsMp1K3EMUT8X2Fty4VG54/Ec6bE8tNVw4/QV1VzBw7Px2/2eEhhUS+FMfbHAlD",
        "28x00jRgAAACW0GaQjwhkymEVwArOUkEOhoFqiELtH8wgecFLiUq6WqmwAP7iGEwbYzfnHacfqUN",
        "XAfD+CGR2ap0lAHL25ipuYtd5j2O0PU/MpaWPG/n2y5OkfTzaOpotaR5tWjN55B2XblVVqsFfBC/",
        "mvsiPvCBWUHFChacdY5whj5mP5rqQ0dqLJCsWjrs4TWnIbL2V/Iwfj3hwI35jfo1JkTOeR+8GhOd",
        "ma9rgiKWafCbQyhYMTDmVdvhND60Flm97EDSTjF0OC+0gD9b8Yn4tNeHipCa/aWyt0n79bMmjfcj",
        "ntBCPjrcB5ecRTpfGHbEHy1IRj2cjkGXKC+VYoYJXBp4rd4cMd8ygLCk5nBSd8/cTaKNRjdBscOe",
        "TXG6QEjSxj9/2pVwx9DMRVtWQR0BSaAcQcZ8W2KPSaeRC4QwmNMu2xx25CSyrDiq2rFSK/JJtmvo",
        "IjAKq0ciEXoOgw+Ke+Ylb7ULKCS3k1p/613UNRp450uSq5b7CAHo7S0b7fBMLfNmwSjRYEhLlo0H",
        "UaRe/I+IX2Z6XdZH9Hty/399ZA1PwZGC6EfvUJIf7CBeaxv7cu6IT2/s0zPRGthpvXpYw6A7P4Ww",
        "z5C4V98KnIUNUanadqabKP6eXWhvbvcQHxAjiOOiKZgXZplZW2g+B2NNyJSLiR+g48DqvWR6t9S2",
        "aGfFjdOW1Gi6oTtZ1d4p5XIslAr8mryeZ6+htSSQe4AcfVt7k+V6mOthBCYtr/LEU4ZHtl0mW987",
        "6PK8mRFAaT8DJOUFVz1lPfzRApuPggkkyq+UMvyfKTUbCk7/DpfX8Y4s4QAAAg9BmmNJ4Q8mUwIr",
        "/wAsWUPjZw3ksgRsxZ6n4fQjprPbkj2aUh30y0bZJnLmiXnWskvOGnCPwBnG9dEhatwX3hoxk7BN",
        "yG+wQ4emZUpcVzcWl2T9nKQB1euucuZWHTg7TCtM/iHyfPO2vbmGsfzs70b/egIbywUH4y4BQSL1",
        "nWc1SmpHm2zHMBcUjYLDZ5gL5vdfxn0V8FFw66G88c/LN4I5icUa7xf4fcSBKywU0ajbp1P+aJYj",
        "BgWT6Ggu0MDLDNl54tfqd42lKosQtM1aif4WXAZFP5Ww3vrQ1rH9+utSYxqZd6N6gGtNbSNMcVia",
        "Kn5LcnjsbBi3T3EmGqshEbcme8VHKwR3kSfBOAprrIsv6K8R+X6az+MD23rWka/2v64m1qM69D7X",
        "a+Kcs/n0KLCJdTilyaGadopLeaAn3eYvWTeHcucMM1Fp1KgHD1tiFeO6HvobLkZlRximsA3/7Mio",
        "hYklLIcJrZL22BH+6W9d6kZsYIsej9RM681nU6mWNjepBAfAfTbrGRrVB/h2DxC5B8YyRjgSIzQj",
        "NYrse0rzChqbrsLl7mQ7W+1bsNKze5//9ZIa8rSsF+BXh/vgoRTDkPW/ws95B7VPCZEFChfX0icw",
        "+tpcpN/q7NY87tUn4vESdSiMMlyhKklMjQu/G51J69ZRQLs2oUO6YfoJFqliy4qCFCrf8SZE9Fc6",
        "DcCagAAAAodBmoRJ4Q8mUwIr/wArPWF/KOw78THwadfPqhJO0CnmR/M74/XYZLqVYKlNcEaYauf+",
        "vrRUDJPmu75sMKy2Y+Bnslc/iAISSyWtw/h/3CF8fE5ZrbrwSNst+MSyCoNWP+8imtoX2eyojpdC",
        "k8YP5K+cbK4SJPCkZXbYqSXYk7hO8AdSemBHgXKWiZ+UOr802aJo+98ZOIjX9hWL9bo31Gqx7cy4",
        "ZG+W/ar/WGlzDa1xPWnPRsEdrIcZlEVGV/jGmbirkxw1lyUYoqj8Vv7Bxube9XPQlBkXOV6Lc1LT",
        "2IzNq0V7WwVhF0kA6yxfAsFxc9krNEH8vGGntTWI608ovjatXc/CKKXw7AjJSftlTcLI0hIIGXbR",
        "Ur0NCYNp7M4cVd/n73Rjetnixz4SAKpcz/P47UsijZG7T3SxzK2D79WS42aEalc12hQwCZ01LfmF",
        "/H2mmGEvOzPBie1D0YT7Jh19vxa4Dd3SQ1FrDfmSUpvv4DjbYcZ2PrPpFpWtMjWqHBeoyMiZf6RP",
        "3EfYR6z9jsVNIIHxM0bzzBQF8eeYkPgDySydxPXv9Izo+QUY94N8kWi16fI6eZSDc1G0Yo0L91jc",
        "RQuDMGGS7B2zuf/0GbJyRhUO48UbMrqnILMrbQg1LF00Q3pH9nbGEK/RRQpRN3T/J/4IZQjwW2Ft",
        "2ipWGztg1Jn9I4DmffKS60QC+JQcyakdVON6zDcKttIKlqeTcmAi4xzmo4QXa2dRKleS+fs3EtTd",
        "BBtony2wK9T2Imj+NCziOSEL7Q7VuIU8kclUHrJJsSneFcxGRgIgGGUEQM8/pklwTOqab7mMmJeR",
        "iaBrjJDEnDpkR4Vz3qXxgyn4/5x24FuTMNVPwQAAAhtBmqVJ4Q8mUwIr/wApcLwPT0/Xh9UdWqWX",
        "Is8Wbj5K1hivmN6qIQnq+aolcegdlM/63MbHsdC6xYZC1e/Q8UjQCt9N/Ejqwms8DzeWv2qxskel",
        "iZH0kt1QWkErWSEodq7V0ZNksctLkMGWayX33gBT368EehfIeGDolBZoqIbJfb4nqcfU+ev4OzVv",
        "9zVqWyLck315GFmXxQKIM8pICQc8Q5es34LH1+DmnMnW8kQpVGrztQcDXhjCU3F0fOgoSsXSVWCj",
        "c6XKqGbCwQDfJUxCfXfIT6YmQoPpVp1mpGy1wQypXus9z0bScDpyDu23hViYDntdj1O45ea0znKZ",
        "kj1+tLHbBtqAGJ1WTcbGlF6Vya6hQhEsiiZUIC2fRxIj8/wEXCICIbr0gZ/m6gcOhE10tenvE7iy",
        "+BKY81wLWrnzos3S6FWxYtmCRes+LLhNGOKWRuQo6SyePH2OZ90xZm8oA1MuTe3V59euVNxjAt0F",
        "LkAc9TEiFhP/8CB+gA8mF+A8h1U01f4DVX55GzCH51jHI2xUS0L9GtsHoBxLPLK/NNel8zcnwG4X",
        "+UusfcfEb5hh+ffnXteCE9vRGbs2n9wYW0xA3ZicklfadmWKUtMiHYBfkMSULWnkBQr4CXxjpYOs",
        "6ygeEoA5+5B0B1SZObgZ42wWqddyyYE0NfwQAl75tfdJGqOa7OMHwBYNeatJaJK0zT2+bFaw2qWC",
        "WwAAAitBmsZJ4Q8mUwIr/wAstkdsayRXchoFk703izqzduZ5WsyXriI9cfUdMUWvm0iGHwYIrUuj",
        "vz3Yjou+JLwv9df2kt7MJo8u+3P5CjEKbwlz4vkE5AHTAbgXn3+Xc/MMJLgW5cm7iX3KiGNnBpbp",
        "hhwJRlb3u91NRDr0d1IR2up/z7lKxE7XPAPFe0siPMYVlIqWNSn5KqLABPeuxxbOsvMEb27/nH1L",
        "UVM8I2F95c1I3Lv1SpkhZXjs1JsmS9X7gsoTxkXyShGC2+zRJSGUbhCPo/q1XSFMHQyMWJ79FKPQ",
        "SL/RpVsacN2bYwdKo4TFBw1SsKq/L1iOmqMI+4Gxnbbjojdk0ek0JIcDb4bHv1czxchF7FX1Ym8H",
        "6IpPuE8CeNKjzQ1a1wqhEu+wl1N0x3Y37ZryCCKJRkxj0FT7bOoH3L38/yMUuh/v3aCmxY4eCkyk",
        "b2p6ZrYMFE044anM/nMjmbErMibfRFuCz58Io1rBlF7JfkIz0R2/5vjUMVskcdbX2mm7DntncOsW",
        "DIdg/XVmgsC9CzVzUyq4VsS/sk97lJggcddpWLNw/29egz8iLyzWHOAXCvl2fTIPkviYAOQXfVhZ",
        "UQdxsyJUNFMTiALrZCmoQLMp2LmDbfbW8JQriDeR3fVz6P1sjT8C2yEDvzkCn7sh0aTBK+sx7BKH",
        "1nb4320+caQepQj4TCJtCeNXjdrVcNEnjvwlcRJwFT1pT+Y7HREbHnT71XYNh4EAAAGEQZrnSeEP",
        "JlMCK/8AKIjxcI58rm/ML255fOJW1zbznFna7lfgMQrka7OTPPsvVAV4EJXye/Uxiu9dlftmRypJ",
        "qfDot3xwDe8lX/qAVf6pBkSlUsaLyBYtww/SUSa1bGl1JvrJCN7FXCCXbLd5R4PoYlPiDIm/DQH2",
        "puO0StIWmrR77Isc/J1pRvdu5+mQa/n0SEHUeM2KkoRzCznfD9zaaRO7BDtvC9SYIT0uYZxrwTjx",
        "Q7N7UERTrYG0P+vRLAhxkfohFIYl3HXyjPOvnlbUFP2oiiy6nkUFuaIyQcJawJv3GU8k4ObcKsC1",
        "cNDXjSpsyQRrxLFaCCjke4mikyt7vs0iN0bnrNWv9HXruG9zOFEOer1ggIFTsT1Eos5CXRkgja5H",
        "N4QUM6MhWpc5du/HgBIH8ANFcoo2kJpqcadw9r/0qk25X91MQSDJQiH8Hny2dQhqR+LFWEawiW75",
        "3SJhn0ngZcv/mPj3mwcHv1SL9ErBqAjm4JGiDetPKYtFwANYY11OyQAAAVdBmwhJ4Q8mUwIr/wAr",
        "Ox5HV2505jRePGgMxptW4PGIHEszV1xGZS+flSkF+aq30AaqO7u6XK9jJsuWXTfYCRQTn1bZfFQ2",
        "2DbO5DXAxK/TUmbQleCflFzeS6/czxkL4PJ8AwOs2U+oehekgCZC8gZyHHaQSaKbNJ46gTjNsLy8",
        "4ACQ5uNt11TPuCPqPTuh+schdw9S+/lU/6m+EyaqGZ49wDFPiBFBYXglQQBjyP9k/rqq0xL7SiLj",
        "pe4riYg8SFUuUtOzPdWHyvxnI7Ug/0VLPGAAhgMISUnqe01d5QFf36yHpwMAHexjAZFIGQHAFaut",
        "uMuEw6HzUZVzNdeHYxvEYOGkTo007bLwbuf/nxzrywGOxlRTYJLRdYI0mk0SdN3+LeTv1RIJwv21",
        "+e9rT5iFOTCgzeQoekEWXLYz0X8YLq5bVCtijP7/T7w1Ck71j0aqfrEn6wtIAAABNUGbKUnhDyZT",
        "Aiv/ACcySi7VBgOid6qZNXvhh/JsllHkMLLq0yNbQTqv/Wk2EBoSKICZwFwAD0WRzhvvReCGirep",
        "1Fe4bxjm49/UR+OYrXRmHR18T0C83AUVeBk7KvDZmb/eHzuzEN4yfXucr/NWFJl+USVMY4r4UQ9C",
        "ayrfEY9v6AQ6mzAdLy2UMfFxrRJ99g/Rfl8qx+m4jIZNjlrTaThzJ/3OpVmAliDfxVyg8+CVIlI3",
        "1IykiwQrXcebgajG+av8XU1SfyAG5ibvwbtdSAxkGBcJWL387V+uTdY56w3KN2vBtoQpVKD2zb3y",
        "azIcATZ02upwIytNcM/rpaLCdMb1myWcikE25agzLhDhOS+4zwjYz2DnW6VY0gFBAPsphhsUMnau",
        "VVdUVHzCTSdvzEve/H8q4AAAAVdBm0pJ4Q8mUwIr/wAo+x5XKuiN1am7SkJKSMonFZDPU3f5XFcD",
        "QSs0FLVq2idfsKwuIkt1mxIq8NgMHpzofTnDHqs/WedvAmhBgL0N5azdQa5MNKG2rJ4IAvGQY/uF",
        "m3jKQAKzvhSS01gO1oIfizF817z9IShS4QK2WT0PeFPELqLSpED8eNOpVTR96vmwpk/WBKRVJdTQ",
        "JzjiCQ5pgEwjtvk7KqoS0+lwXSbvIrXkYm8DignEts3DLNoLHrPjXlQmbIop76JZSyJEtB+91GrL",
        "wo6Km5GeebyA2E6qGL3xSkpppej/ruoFprSKrH60UMbrq/SK7eCo+1QFoySPQmqDFsMGiQFqvtld",
        "5BXDYdVI4yRaoyN7Y7wi83HRC6eVazuHU9OtIY3xJJApBWq1aJOsYwc38aTC3ee863Aa/4n9Lk4D",
        "AtyFYHNZjB5m2e2vk8G2Gny9YFlBAAABQEGba0nhDyZTAiv/ACoZSZQfHxhfQxEqOBQrP+L3Dmgv",
        "HSJQtB1iVkcLTxm+vagLHBLG91OGnopwrr7gT/loDypIhoRxjcwAAOeg/jN4WBbXzCJtnWGGllUC",
        "SdtUZQzKOSp9iM4yX18C6jrY4Sq6R9PUV/lEGNveJR4gw4FMve7110XdEPL1O2VTdHvdqeANyaq0",
        "nLdEmtXnrzvdrFlBaUvmaR4EdlkqGkvkZKWJej8Vq+msbKa7JdbxjwZtRufiyGfD/NVqMgSrYRzw",
        "9z/a8Zwbr+9+19CxlWD5bCuAEfPmjY6kZJE2L/CQI6+tnCBTXOmWZtZMBoCLGOf7G2uAC3+kFlbo",
        "h9as5WCkO6+iqXq29dyhKnsHInorRYsPlgxIXyU1Om/Kyhj1DJV0Am9WJK3Dln0zNUH0q6ZTOnZc",
        "FD36AAABYkGbjEnhDyZTAiv/ACcwdIOLRFfoGK2ZkKsvgMwG0m0qsY0vMLPSzefc+ebp/aztyF7M",
        "lsBz/fBeNtxFBcsKgR4pf65GvdfOMHah0ltZ918sMDmXUEZMeRHy/xpnWpTLeGz6uTs/7MATPmU5",
        "BgHbT/DkD8QeaZnFAzidyFCXDz2l/jaKhEdgqipbB2pH0+fQ039r05z9axxEWGmaLQjg6x9+po1o",
        "24yhkVO7m03YwWmPyCgy8cOwrvRyJkXJpRN4m8ZBS1zwY80HeN/VyMQQJSMwsTo7R1XMerSFuyx0",
        "nz+8qOuhiqykc2ohCCsXia/+kIKbJ5Vs+cbWtvkqBKIDSfU7FhAd3GjcY/xar0EVmi6wWFTugAog",
        "R3I7mTrQDdlTAqYgqO7Gn5NMXQVHu2i1zhFSdo9GjMbeGnbkJwsFbQ2XkoKRIDpuW7AewC9AEBt0",
        "Ox/Ah6dGXfXO1jl8pEApj2RFmgAAAPlBm61J4Q8mUwIr/wAlR+eW/VZ7bSrmwwMA62G05DZ7p/5F",
        "UugsSsQdonUq6abtbU5hjFr+I1lPgoiV5c3CkTQZS+K5zivdo+Ti2P4K90xXANp8dSMAu85uJIOC",
        "Qn2TXbEnNDifLB+3V84ht5tj4lvTaZx317BcliV8D5v2zZQW8RO1mUbuJEBItst8E7hfE+ZXj7tf",
        "DxNZPTvtpFyUv0fH1cTg1pr2VLy0d0zQLiA58dg+GkRvR1/hs2LyifBgHcj6eTWz0vsypVn9iPXR",
        "H/unJ6i8cfFL69NO24tQ9QQB+nDFhoP2cRhkAvhHwn56n5PppBD/oxni2f8AAAE9QZvOSeEPJlMC",
        "K/8AJjAXVGf+Kj2XNJnFeKC/gr7dJDTC2ngpd4WeAHlg04GuJKnn9hAmiECxxo9qM1IYMRiB85t6",
        "gALnlm9sRqGmioyzAm18RJndc9Ah8RlpGzr+44a6ntRaPx0cIwNIWAA8buL2JP00dmfjNqEiAlCa",
        "8OdV8FQxjp1vDXsGcAGF3Qbd62KEpkimeI3wH2nuXpbDHm8/ZKOR49s5ifUCkxCoJpfp43aC0lTz",
        "h2NXpcfVw6h0QnK8G60R4ZAxOxaJB7c0nn8ixXSU2JVY24EtGMF53nxJnHfzUheewUfBOGYSxeo8",
        "oK7oUCqX4rztzDwoc2QywNqQUJUkFrqIN+sb5ecYvX24Zujn+ZzTW6UDAF3R6WdNyJyRAremgC8s",
        "pSflTqygQNGfHyGkfIEEJJaFo/pBCBkAAAEWQZvvSeEPJlMCK/8AKI41fuekXG59Knbw4Y6YJrit",
        "sh9VtQgc3QKvVmxrzzo7f4aXn8N74eyP4b2lV1Z2Q+rohxps7EHTkOY9jLdqxI3MXe7je4g2qepz",
        "71+hY+jYdX+9LO0kA0Zg3NfyAlIRX7k6c/YHAZNtNaGZgTBMqiPgmEjiJH9Luk7shbgr+srfwiYw",
        "BX9rdS3fQNNFwcT8orQC+F60LAY9+GbFo2Sw3Ld4Tw9jq9yJtrY8RtHAdzytyek/mv2+j2TbTvAQ",
        "KbbCYtdC8E/KtR4V5ZTSScr5Wb63vmbw7UpddEXYvl55pARyyvMxWNSh3Li4GF8Jk5JBi5B5ASQw",
        "xCMYpX5hkAMc+d8tl2bT+IEvUTsAAAElQZoQSeEPJlMCK/8AJIAzFZs00JJ0yfm8CZiew4xWdArL",
        "klEvBVXo/+ukPLu3XP9HFOfsme3T6BJEKmPPgZw/Lxnraq6Sl2kLVW19YU1qmqgfv+80LkZaWU5g",
        "RAH4hqyo3bFYcbuY2SC3IW5Wm69gtYyAXOdbAYSEHA16fvCeRQjHEsxKVndJdrRAlrGHsKgUBQ3U",
        "p/ZXIy1vkdFOfKSjpuZnswkuqr8NZI5tJ/dnBSErBTNWPaNwWV7nNomC0EYVGo+geGBhLXzaLw0U",
        "AOCYGjiPc3803BDw1GLoLIXjrIFJxwRfBNIAXYZAglu30oYzhpAfRWSprkeULMWYJTlWvbUQ5CNe",
        "wSZssuDWIRAc3w8AcFaywwn+YSGhtR8VI1OGjYkfBbcAAAD8QZoxSeEPJlMCK/8AJdokjCUETRw/",
        "nciVPtaZQSBP/VxAQSITASEzlJBl9Na1r0DJhLOz279+KQLtl/xHZ8vAKc528mTMTqtWs4sFbeVg",
        "HWyBpHcHEtgTzjIqEinp/MPuUXF5poo8YLSSMFn9Ozx2FbU5/Kh9A39oN9NHQflVxV1NA6yT/84H",
        "HyfMtfdSMS8KTvAEE2lDs14VQayNs5ctjXboQT7xMBf5OLj6thhPvgaDrFB2o/PV9ouK147lruWT",
        "P2mkoA9oDIMYW1pcBx4yyV/t9GOPZ3aXneMUb2fFmUCX43BjXfUDMaa4GO2/Ankj3UEQwDxA7ZlN",
        "UQK2AAAA4UGaUknhDyZTAiv/ACJHv33I08bkhybYiJ/JiiheW5zMPBu4n5CxGr3frhE7TkLh0vPk",
        "tM8m/AhaDiJisdk5QXNe/4WmxEDSAyaVi4eUVu0iHT2ly/KNTGqiORqA2oKpTjh84nYbrpXwnGv9",
        "SOf/34Z06xN6Yo3t35UZrP8nlcs/63GtnEmnUwVZHBYfPM6bs5M5AeBfAQ/9mIqu7vnEst+5O2wp",
        "PjzdItjwGCZ2ApHVjGnYYFomlA9nm6AXnxNIWHIsDgxCk3zx+6QbXipu/CWLG1Wf0WIbt4C0JPVl",
        "3TEb0QAAAMlBmnNJ4Q8mUwIr/wAVV64OfTKmlktYOqZHH1W1DhPy/X/6sD4T6hRdzfOgNtTOX2Ic",
        "kRJHshfBQVkJIzns079io6kpJFCcS3VD4zrWCn/dNaGV0kWTpFBRuusfn8F0C0R/EhsQeyTsdZft",
        "EkLGb5tq+nrir3vfmeb7rjmWJRXkIrTEKu8pIuAd+4FBGp8ARgGe80Jqpp//s1433HqBFqXsIFJT",
        "mU8j/toF9HyueI1Ea4uvsQ6NANGcYCbOAKCmbNiwABMCFaiUTMAAAAPSbW9vdgAAAGxtdmhkAAAA",
        "AHwlsIB8JbCAAAAD6AAAAyAAAQAAAQAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAA",
        "AAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAv10cmFrAAAAXHRraGQA",
        "AAAPfCWwgHwlsIAAAAABAAAAAAAAAyAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAB",
        "AAAAAAAAAAAAAAAAAABAAAAAAY4AAAGGAAAAAAAkZWR0cwAAABxlbHN0AAAAAAAAAAEAAAMgAAAA",
        "AgABAAAAAAJ1bWRpYQAAACBtZGhkAAAAAHwlsIB8JbCAAAAAGQAAABRVxAAAAAAALWhkbHIAAAAA",
        "AAAAAHZpZGUAAAAAAAAAAAAAAABWaWRlb0hhbmRsZXIAAAACIG1pbmYAAAAUdm1oZAAAAAEAAAAA",
        "AAAAAAAAACRkaW5mAAAAHGRyZWYAAAAAAAAAAQAAAAx1cmwgAAAAAQAAAeBzdGJsAAAAtHN0c2QA",
        "AAAAAAAAAQAAAKRhdmMxAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAY4BhgBIAAAASAAAAAAAAAAB",
        "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAGP//AAAAMmF2Y0MBZAAV/+EAGWdkABWs",
        "2UGQz6mhAAADAAEAAAMAMg8WLZYBAAZo6+PLIsAAAAAcdXVpZGtoQPJfJE/FujmlG88DI/MAAAAA",
        "AAAAGHN0dHMAAAAAAAAAAQAAABQAAAABAAAAFHN0c3MAAAAAAAAAAQAAAAEAAAAYY3R0cwAAAAAA",
        "AAABAAAAFAAAAAIAAAAcc3RzYwAAAAAAAAABAAAAAQAAAAEAAAABAAAAZHN0c3oAAAAAAAAAAAAA",
        "ABQAAA05AAACqQAAAl8AAAITAAACiwAAAh8AAAIvAAABiAAAAVsAAAE5AAABWwAAAUQAAAFmAAAA",
        "/QAAAUEAAAEaAAABKQAAAQAAAADlAAAAzQAAAGBzdGNvAAAAAAAAABQAAAAsAAANZQAAEA4AABJt",
        "AAAUgAAAFwsAABkqAAAbWQAAHOEAAB48AAAfdQAAINAAACIUAAAjegAAJHcAACW4AAAm0gAAJ/sA",
        "ACj7AAAp4AAAAGF1ZHRhAAAAWW1ldGEAAAAAAAAAIWhkbHIAAAAAAAAAAG1kaXJhcHBsAAAAAAAA",
        "AAAAAAAALGlsc3QAAAAkqXRvbwAAABxkYXRhAAAAAQAAAABMYXZmNTIuMTExLjA=",
        "\">"
       ],
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "&lt;IPython.core.display.HTML at 0x423a550&gt;"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "source": [
      "## Local Files",
      "",
      "The above examples embed images and video from the notebook filesystem in the output",
      "areas of code cells.  It is also possible to request these files directly in markdown cells",
      "if they reside in the notebook directory via relative urls prefixed with `files/`:",
      "",
      "    files/[subdirectory/]<filename>",
      "",
      "",
      "For example, in the example notebook folder, we have the Python logo, addressed as:",
      "",
      "    <img src=\"files/python-logo.svg\" />",
      "",
      "<img src=\"/files/python-logo.svg\" />",
      "",
      "and a video with the HTML5 video tag:",
      "",
      "    <video controls src=\"files/animation.m4v\" />",
      "",
      "<video controls src=\"/files/animation.m4v\" />",
      "",
      "These do not embed the data into the notebook file,",
      "and require that the files exist when you are viewing the notebook.",
      "",
      "### Security of local files",
      "",
      "Note that this means that the IPython notebook server also acts as a generic file server",
      "for files inside the same tree as your notebooks.  Access is not granted outside the",
      "notebook folder so you have strict control over what files are visible, but for this",
      "reason it is highly recommended that you do not run the notebook server with a notebook",
      "directory at a high level in your filesystem (e.g. your home directory).",
      "",
      "When you run the notebook in a password-protected manner, local file access is restricted",
      "to authenticated users unless read-only views are active."
     ]
    },
    {
     "cell_type": "markdown",
     "source": [
      "### External sites",
      "",
      "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia",
      "page for mobile users:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "HTML('<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>')"
     ],
     "language": "python",
     "outputs": [
      {
       "html": [
        "<iframe src=http://en.mobile.wikipedia.org/?useformat=mobile width=700 height=350>"
       ],
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "&lt;IPython.core.display.HTML at 0x41d4710&gt;"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "source": [
      "### Mathematics",
      "",
      "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered",
      "in the browser thanks to the [MathJax library](http://mathjax.org).  ",
      "",
      "Note that this is *different* from the above examples.  Above we were typing mathematical expressions",
      "in Markdown cells (along with normal text) and letting the browser render them; now we are displaying",
      "the output of a Python computation as a LaTeX expression wrapped by the `Math()` object so the browser",
      "renders it.  The `Math` object will add the needed LaTeX delimiters (`$$`) if they are not provided:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Math",
      "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
     ],
     "language": "python",
     "outputs": [
      {
       "latex": [
        "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
       ],
       "output_type": "pyout",
       "prompt_number": 1,
       "text": [
        "<IPython.core.display.Math object at 0x10ad35e90>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "source": [
      "With the `Latex` class, you have to include the delimiters yourself.  This allows you to use other LaTeX modes such as `eqnarray`:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.core.display import Latex",
      "Latex(r\"\"\"\\begin{eqnarray}",
      "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\",
      "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\",
      "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\",
      "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ",
      "\\end{eqnarray}\"\"\")"
     ],
     "language": "python",
     "outputs": [
      {
       "latex": [
        "\\begin{eqnarray}",
        "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\   \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\",
        "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\",
        "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 ",
        "\\end{eqnarray}"
       ],
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<IPython.core.display.Latex object at 0x109a38790>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "source": [
      "# Loading external codes",
      "* Drag and drop a ``.py`` in the dashboard",
      "* Use ``%load`` with any local or remote url: [the Matplotlib Gallery!](http://matplotlib.sourceforge.net/gallery.html)",
      "",
      "In this notebook we've kept the output saved so you can see the result, but you should run the next",
      "cell yourself (with an active internet connection)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "%load http://matplotlib.sourceforge.net/mpl_examples/pylab_examples/integral_demo.py"
     ],
     "language": "python",
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#!/usr/bin/env python",
      "",
      "# implement the example graphs/integral from pyx",
      "from pylab import *",
      "from matplotlib.patches import Polygon",
      "",
      "def func(x):",
      "    return (x-3)*(x-5)*(x-7)+85",
      "",
      "ax = subplot(111)",
      "",
      "a, b = 2, 9 # integral area",
      "x = arange(0, 10, 0.01)",
      "y = func(x)",
      "plot(x, y, linewidth=1)",
      "",
      "# make the shaded region",
      "ix = arange(a, b, 0.01)",
      "iy = func(ix)",
      "verts = [(a,0)] + zip(ix,iy) + [(b,0)]",
      "poly = Polygon(verts, facecolor='0.8', edgecolor='k')",
      "ax.add_patch(poly)",
      "",
      "text(0.5 * (a + b), 30,",
      "     r\"$\\int_a^b f(x)\\mathrm{d}x$\", horizontalalignment='center',",
      "     fontsize=20)",
      "",
      "axis([0,10, 0, 180])",
      "figtext(0.9, 0.05, 'x')",
      "figtext(0.1, 0.9, 'y')",
      "ax.set_xticks((a,b))",
      "ax.set_xticklabels(('a','b'))",
      "ax.set_yticks([])",
      "show()"
     ],
     "language": "python",
     "outputs": [
      {
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAV0AAADzCAYAAAAl6cWdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n"
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      ""
     ],
     "language": "python",
     "outputs": []
    }
   ]
  }
 ]
}